Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	8124
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	256.0 B

Variable types

Numeric	17
Categorical	13
Boolean	2

Warnings

`post_code` has a high cardinality: 8050 distinct values	High cardinality
`post_area` has a high cardinality: 1937 distinct values	High cardinality
`Balance_Transfer` is highly correlated with `Life_Insurance` and 3 other fields	High correlation
`Term_Deposit` is highly correlated with `Medical_Insurance` and 1 other fields	High correlation
`Life_Insurance` is highly correlated with `Balance_Transfer` and 6 other fields	High correlation
`Medical_Insurance` is highly correlated with `Term_Deposit` and 1 other fields	High correlation
`Average_A/C_Balance` is highly correlated with `Life_Insurance` and 4 other fields	High correlation
`Personal_Loan` is highly correlated with `Investment_in_Equity` and 2 other fields	High correlation
`Investment_in_Mutual_Fund` is highly correlated with `Life_Insurance` and 4 other fields	High correlation
`Online_Purchase_Amount` is highly correlated with `Investment_in_Equity`	High correlation
`Investment_in_Commudity` is highly correlated with `Balance_Transfer` and 8 other fields	High correlation
`Investment_in_Equity` is highly correlated with `Life_Insurance` and 7 other fields	High correlation
`Investment_in_Derivative` is highly correlated with `Balance_Transfer` and 7 other fields	High correlation
`Portfolio_Balance` is highly correlated with `Balance_Transfer` and 7 other fields	High correlation
`Average_Credit_Card_Transaction` is highly correlated with `Investment_in_Commudity`	High correlation
`Balance_Transfer` is highly correlated with `Life_Insurance` and 2 other fields	High correlation
`Term_Deposit` is highly correlated with `Investment_in_Commudity`	High correlation
`Life_Insurance` is highly correlated with `Balance_Transfer` and 5 other fields	High correlation
`Medical_Insurance` is highly correlated with `Investment_in_Commudity`	High correlation
`Average_A/C_Balance` is highly correlated with `Life_Insurance` and 3 other fields	High correlation
`Personal_Loan` is highly correlated with `Investment_in_Equity`	High correlation
`Investment_in_Mutual_Fund` is highly correlated with `Investment_in_Equity` and 2 other fields	High correlation
`Online_Purchase_Amount` is highly correlated with `Investment_in_Equity`	High correlation
`Investment_in_Commudity` is highly correlated with `Average_Credit_Card_Transaction` and 7 other fields	High correlation
`Investment_in_Equity` is highly correlated with `Life_Insurance` and 7 other fields	High correlation
`Investment_in_Derivative` is highly correlated with `Life_Insurance` and 5 other fields	High correlation
`Portfolio_Balance` is highly correlated with `Balance_Transfer` and 6 other fields	High correlation
`Balance_Transfer` is highly correlated with `Investment_in_Commudity`	High correlation
`Life_Insurance` is highly correlated with `Investment_in_Commudity` and 1 other fields	High correlation
`Average_A/C_Balance` is highly correlated with `Investment_in_Equity` and 1 other fields	High correlation
`Investment_in_Mutual_Fund` is highly correlated with `Investment_in_Equity` and 1 other fields	High correlation
`Investment_in_Commudity` is highly correlated with `Balance_Transfer` and 3 other fields	High correlation
`Investment_in_Equity` is highly correlated with `Average_A/C_Balance` and 3 other fields	High correlation
`Investment_in_Derivative` is highly correlated with `Life_Insurance` and 5 other fields	High correlation
`Portfolio_Balance` is highly correlated with `Investment_in_Commudity` and 2 other fields	High correlation
`Investment_in_Mutual_Fund` is highly correlated with `Personal_Loan` and 6 other fields	High correlation
`Personal_Loan` is highly correlated with `Investment_in_Mutual_Fund` and 6 other fields	High correlation
`Investment_Tax_Saving_Bond` is highly correlated with `Investment_in_Equity` and 1 other fields	High correlation
`family_income` is highly correlated with `year_last_moved` and 2 other fields	High correlation
`TVarea` is highly correlated with `region`	High correlation
`home_status` is highly correlated with `year_last_moved` and 2 other fields	High correlation
`occupation_partner` is highly correlated with `status` and 2 other fields	High correlation
`year_last_moved` is highly correlated with `family_income` and 2 other fields	High correlation
`Investment_in_Derivative` is highly correlated with `Investment_in_Mutual_Fund` and 7 other fields	High correlation
`status` is highly correlated with `family_income` and 3 other fields	High correlation
`gender` is highly correlated with `occupation_partner`	High correlation
`Balance_Transfer` is highly correlated with `Investment_in_Mutual_Fund` and 6 other fields	High correlation
`Average_Credit_Card_Transaction` is highly correlated with `Home_Loan` and 1 other fields	High correlation
`occupation` is highly correlated with `occupation_partner` and 1 other fields	High correlation
`Average_A/C_Balance` is highly correlated with `Investment_in_Derivative` and 1 other fields	High correlation
`Home_Loan` is highly correlated with `Average_Credit_Card_Transaction`	High correlation
`Portfolio_Balance` is highly correlated with `Investment_in_Mutual_Fund` and 7 other fields	High correlation
`Investment_in_Equity` is highly correlated with `Investment_in_Mutual_Fund` and 8 other fields	High correlation
`children` is highly correlated with `age_band`	High correlation
`Online_Purchase_Amount` is highly correlated with `Investment_Tax_Saving_Bond` and 1 other fields	High correlation
`age_band` is highly correlated with `family_income` and 5 other fields	High correlation
`region` is highly correlated with `TVarea`	High correlation
`Life_Insurance` is highly correlated with `Investment_in_Mutual_Fund` and 6 other fields	High correlation
`Investment_in_Commudity` is highly correlated with `Investment_in_Mutual_Fund` and 7 other fields	High correlation
`TVarea` is highly correlated with `region`	High correlation
`region` is highly correlated with `TVarea`	High correlation
`Personal_Loan` is highly skewed (γ1 = 26.15959592)	Skewed
`Online_Purchase_Amount` is highly skewed (γ1 = 21.76395425)	Skewed
`REF_NO` is uniformly distributed	Uniform
`post_code` is uniformly distributed	Uniform
`REF_NO` has unique values	Unique
`Average_Credit_Card_Transaction` has 4989 (61.4%) zeros	Zeros
`Balance_Transfer` has 3524 (43.4%) zeros	Zeros
`Term_Deposit` has 4587 (56.5%) zeros	Zeros
`Life_Insurance` has 2454 (30.2%) zeros	Zeros
`Medical_Insurance` has 4046 (49.8%) zeros	Zeros
`Average_A/C_Balance` has 2806 (34.5%) zeros	Zeros
`Personal_Loan` has 5134 (63.2%) zeros	Zeros
`Investment_in_Mutual_Fund` has 2602 (32.0%) zeros	Zeros
`Investment_Tax_Saving_Bond` has 5133 (63.2%) zeros	Zeros
`Home_Loan` has 5609 (69.0%) zeros	Zeros
`Online_Purchase_Amount` has 5700 (70.2%) zeros	Zeros
`Investment_in_Commudity` has 825 (10.2%) zeros	Zeros
`Investment_in_Equity` has 915 (11.3%) zeros	Zeros
`Investment_in_Derivative` has 445 (5.5%) zeros	Zeros

Reproduction

Analysis started	2021-09-27 09:24:04.155155
Analysis finished	2021-09-27 09:25:42.079448
Duration	1 minute and 37.92 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

REF_NO
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	8124
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5797.343304

Minimum	2
Maximum	11518
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	2
5-th percentile	592.15
Q1	2924.75
median	5811.5
Q3	8681.5
95-th percentile	10947.85
Maximum	11518
Range	11516
Interquartile range (IQR)	5756.75

Descriptive statistics

Standard deviation	3322.497568
Coefficient of variation (CV)	0.5731069205
Kurtosis	-1.200526797
Mean	5797.343304
Median Absolute Deviation (MAD)	2878.5
Skewness	-0.01280283725
Sum	47097617
Variance	11038990.09
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
2724	1	< 0.1%
2748	1	< 0.1%
10936	1	< 0.1%
4791	1	< 0.1%
6838	1	< 0.1%
2740	1	< 0.1%
10928	1	< 0.1%
4783	1	< 0.1%
6830	1	< 0.1%
Other values (8114)	8114	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
11	1	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%

Value	Count	Frequency (%)
11518	1	< 0.1%
11514	1	< 0.1%
11513	1	< 0.1%
11512	1	< 0.1%
11511	1	< 0.1%
11507	1	< 0.1%
11506	1	< 0.1%
11503	1	< 0.1%
11502	1	< 0.1%
11501	1	< 0.1%

children
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Zero	4991
1	1474
2	1271
3	375
4+	13

Length

Max length	4
Median length	4
Mean length	2.844657804
Min length	1

Characters and Unicode

Total characters	23110
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	Zero
3rd row	1
4th row	2
5th row	Zero

Common Values

Value	Count	Frequency (%)
Zero	4991	61.4%
1	1474	18.1%
2	1271	15.6%
3	375	4.6%
4+	13	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
zero	4991	61.4%
1	1474	18.1%
2	1271	15.6%
3	375	4.6%
4	13	0.2%

Most occurring characters

Value	Count	Frequency (%)
Z	4991	21.6%
e	4991	21.6%
r	4991	21.6%
o	4991	21.6%
1	1474	6.4%
2	1271	5.5%
3	375	1.6%
4	13	0.1%
+	13	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14973	64.8%
Uppercase Letter	4991	21.6%
Decimal Number	3133	13.6%
Math Symbol	13	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1474	47.0%
2	1271	40.6%
3	375	12.0%
4	13	0.4%

Lowercase Letter

Value	Count	Frequency (%)
e	4991	33.3%
r	4991	33.3%
o	4991	33.3%

Uppercase Letter

Value	Count	Frequency (%)
Z	4991	100.0%

Math Symbol

Value	Count	Frequency (%)
+	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19964	86.4%
Common	3146	13.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1474	46.9%
2	1271	40.4%
3	375	11.9%
4	13	0.4%
+	13	0.4%

Latin

Value	Count	Frequency (%)
Z	4991	25.0%
e	4991	25.0%
r	4991	25.0%
o	4991	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Z	4991	21.6%
e	4991	21.6%
r	4991	21.6%
o	4991	21.6%
1	1474	6.4%
2	1271	5.5%
3	375	1.6%
4	13	0.1%
+	13	0.1%

age_band
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

45-50	1098
41-45	903
36-40	895
55-60	865
31-35	840
Other values (8)	3523

Length

Max length	7
Median length	5
Mean length	4.927868045
Min length	3

Characters and Unicode

Total characters	40034
Distinct characters	16
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	31-35
2nd row	45-50
3rd row	36-40
4th row	31-35
5th row	55-60

Common Values

Value	Count	Frequency (%)
45-50	1098	13.5%
41-45	903	11.1%
36-40	895	11.0%
55-60	865	10.6%
31-35	840	10.3%
51-55	833	10.3%
26-30	735	9.0%
61-65	700	8.6%
65-70	468	5.8%
22-25	356	4.4%
Other values (3)	431	5.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
45-50	1098	13.5%
41-45	903	11.1%
36-40	895	11.0%
55-60	865	10.6%
31-35	840	10.3%
51-55	833	10.3%
26-30	735	9.0%
61-65	700	8.6%
65-70	468	5.8%
22-25	356	4.4%
Other values (3)	431	5.3%

Most occurring characters

Value	Count	Frequency (%)
5	9692	24.2%
-	7743	19.3%
6	4363	10.9%
0	4061	10.1%
4	3799	9.5%
1	3713	9.3%
3	3310	8.3%
2	1853	4.6%
7	805	2.0%
+	337	0.8%
Other values (6)	358	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31646	79.0%
Dash Punctuation	7743	19.3%
Math Symbol	337	0.8%
Lowercase Letter	264	0.7%
Uppercase Letter	44	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	9692	30.6%
6	4363	13.8%
0	4061	12.8%
4	3799	12.0%
1	3713	11.7%
3	3310	10.5%
2	1853	5.9%
7	805	2.5%
8	50	0.2%

Lowercase Letter

Value	Count	Frequency (%)
n	132	50.0%
k	44	16.7%
o	44	16.7%
w	44	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	7743	100.0%

Math Symbol

Value	Count	Frequency (%)
+	337	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	39726	99.2%
Latin	308	0.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	9692	24.4%
-	7743	19.5%
6	4363	11.0%
0	4061	10.2%
4	3799	9.6%
1	3713	9.3%
3	3310	8.3%
2	1853	4.7%
7	805	2.0%
+	337	0.8%

Latin

Value	Count	Frequency (%)
n	132	42.9%
U	44	14.3%
k	44	14.3%
o	44	14.3%
w	44	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	9692	24.2%
-	7743	19.3%
6	4363	10.9%
0	4061	10.1%
4	3799	9.5%
1	3713	9.3%
3	3310	8.3%
2	1853	4.6%
7	805	2.0%
+	337	0.8%
Other values (6)	358	0.9%

status
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Partner	6124
Single/Never Married	881
Divorced/Separated	569
Widowed	510
Unknown	40

Length

Max length	20
Median length	7
Mean length	9.180206795
Min length	7

Characters and Unicode

Total characters	74580
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Partner
2nd row	Partner
3rd row	Partner
4th row	Partner
5th row	Partner

Common Values

Value	Count	Frequency (%)
Partner	6124	75.4%
Single/Never Married	881	10.8%
Divorced/Separated	569	7.0%
Widowed	510	6.3%
Unknown	40	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
partner	6124	68.0%
married	881	9.8%
single/never	881	9.8%
divorced/separated	569	6.3%
widowed	510	5.7%
unknown	40	0.4%

Most occurring characters

Value	Count	Frequency (%)
r	16029	21.5%
e	11865	15.9%
a	8143	10.9%
n	7125	9.6%
t	6693	9.0%
P	6124	8.2%
d	3039	4.1%
i	2841	3.8%
v	1450	1.9%
/	1450	1.9%
Other values (14)	9821	13.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	61794	82.9%
Uppercase Letter	10455	14.0%
Other Punctuation	1450	1.9%
Space Separator	881	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	16029	25.9%
e	11865	19.2%
a	8143	13.2%
n	7125	11.5%
t	6693	10.8%
d	3039	4.9%
i	2841	4.6%
v	1450	2.3%
o	1119	1.8%
g	881	1.4%
Other values (5)	2609	4.2%

Uppercase Letter

Value	Count	Frequency (%)
P	6124	58.6%
S	1450	13.9%
N	881	8.4%
M	881	8.4%
D	569	5.4%
W	510	4.9%
U	40	0.4%

Other Punctuation

Value	Count	Frequency (%)
/	1450	100.0%

Space Separator

Value	Count	Frequency (%)
	881	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	72249	96.9%
Common	2331	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	16029	22.2%
e	11865	16.4%
a	8143	11.3%
n	7125	9.9%
t	6693	9.3%
P	6124	8.5%
d	3039	4.2%
i	2841	3.9%
v	1450	2.0%
S	1450	2.0%
Other values (12)	7490	10.4%

Common

Value	Count	Frequency (%)
/	1450	62.2%
	881	37.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	16029	21.5%
e	11865	15.9%
a	8143	10.9%
n	7125	9.6%
t	6693	9.0%
P	6124	8.2%
d	3039	4.1%
i	2841	3.8%
v	1450	1.9%
/	1450	1.9%
Other values (14)	9821	13.2%

occupation
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Professional	1949
Retired	1799
Secretarial/Admin	1435
Housewife	984
Business Manager	578
Other values (4)	1379

Length

Max length	17
Median length	12
Mean length	11.07520926
Min length	5

Characters and Unicode

Total characters	89975
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Professional
2nd row	Secretarial/Admin
3rd row	Manual Worker
4th row	Manual Worker
5th row	Housewife

Common Values

Value	Count	Frequency (%)
Professional	1949	24.0%
Retired	1799	22.1%
Secretarial/Admin	1435	17.7%
Housewife	984	12.1%
Business Manager	578	7.1%
Manual Worker	451	5.6%
Unknown	449	5.5%
Other	432	5.3%
Student	47	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
professional	1949	21.3%
retired	1799	19.7%
secretarial/admin	1435	15.7%
housewife	984	10.8%
business	578	6.3%
manager	578	6.3%
worker	451	4.9%
manual	451	4.9%
unknown	449	4.9%
other	432	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	12471	13.9%
r	8530	9.5%
i	8180	9.1%
a	6877	7.6%
s	6616	7.4%
n	6385	7.1%
o	5782	6.4%
l	3835	4.3%
t	3760	4.2%
d	3281	3.6%
Other values (20)	24258	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	76923	85.5%
Uppercase Letter	10588	11.8%
Other Punctuation	1435	1.6%
Space Separator	1029	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12471	16.2%
r	8530	11.1%
i	8180	10.6%
a	6877	8.9%
s	6616	8.6%
n	6385	8.3%
o	5782	7.5%
l	3835	5.0%
t	3760	4.9%
d	3281	4.3%
Other values (8)	11206	14.6%

Uppercase Letter

Value	Count	Frequency (%)
P	1949	18.4%
R	1799	17.0%
S	1482	14.0%
A	1435	13.6%
M	1029	9.7%
H	984	9.3%
B	578	5.5%
W	451	4.3%
U	449	4.2%
O	432	4.1%

Other Punctuation

Value	Count	Frequency (%)
/	1435	100.0%

Space Separator

Value	Count	Frequency (%)
	1029	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87511	97.3%
Common	2464	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12471	14.3%
r	8530	9.7%
i	8180	9.3%
a	6877	7.9%
s	6616	7.6%
n	6385	7.3%
o	5782	6.6%
l	3835	4.4%
t	3760	4.3%
d	3281	3.7%
Other values (18)	21794	24.9%

Common

Value	Count	Frequency (%)
/	1435	58.2%
	1029	41.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	89975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12471	13.9%
r	8530	9.5%
i	8180	9.1%
a	6877	7.6%
s	6616	7.4%
n	6385	7.1%
o	5782	6.4%
l	3835	4.3%
t	3760	4.2%
d	3281	3.6%
Other values (20)	24258	27.0%

occupation_partner
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Unknown	1942
Professional	1620
Retired	1558
Manual Worker	1222
Business Manager	575
Other values (4)	1207

Length

Max length	17
Median length	9
Mean length	10.20396356
Min length	5

Characters and Unicode

Total characters	82897
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Professional
2nd row	Professional
3rd row	Manual Worker
4th row	Manual Worker
5th row	Professional

Common Values

Value	Count	Frequency (%)
Unknown	1942	23.9%
Professional	1620	19.9%
Retired	1558	19.2%
Manual Worker	1222	15.0%
Business Manager	575	7.1%
Secretarial/Admin	510	6.3%
Housewife	422	5.2%
Other	261	3.2%
Student	14	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unknown	1942	19.6%
professional	1620	16.3%
retired	1558	15.7%
worker	1222	12.3%
manual	1222	12.3%
business	575	5.8%
manager	575	5.8%
secretarial/admin	510	5.1%
housewife	422	4.3%
other	261	2.6%

Most occurring characters

Value	Count	Frequency (%)
n	10342	12.5%
e	9247	11.2%
r	7478	9.0%
o	6826	8.2%
a	6234	7.5%
s	5387	6.5%
i	5195	6.3%
l	3352	4.0%
k	3164	3.8%
w	2364	2.9%
Other values (20)	23308	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70159	84.6%
Uppercase Letter	10431	12.6%
Space Separator	1797	2.2%
Other Punctuation	510	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	10342	14.7%
e	9247	13.2%
r	7478	10.7%
o	6826	9.7%
a	6234	8.9%
s	5387	7.7%
i	5195	7.4%
l	3352	4.8%
k	3164	4.5%
w	2364	3.4%
Other values (8)	10570	15.1%

Uppercase Letter

Value	Count	Frequency (%)
U	1942	18.6%
M	1797	17.2%
P	1620	15.5%
R	1558	14.9%
W	1222	11.7%
B	575	5.5%
S	524	5.0%
A	510	4.9%
H	422	4.0%
O	261	2.5%

Space Separator

Value	Count	Frequency (%)
	1797	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	510	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	80590	97.2%
Common	2307	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	10342	12.8%
e	9247	11.5%
r	7478	9.3%
o	6826	8.5%
a	6234	7.7%
s	5387	6.7%
i	5195	6.4%
l	3352	4.2%
k	3164	3.9%
w	2364	2.9%
Other values (18)	21001	26.1%

Common

Value	Count	Frequency (%)
	1797	77.9%
/	510	22.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82897	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	10342	12.5%
e	9247	11.2%
r	7478	9.0%
o	6826	8.2%
a	6234	7.5%
s	5387	6.5%
i	5195	6.3%
l	3352	4.0%
k	3164	3.8%
w	2364	2.9%
Other values (20)	23308	28.1%

home_status
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Own Home	7506
Rent from Council/HA	279
Rent Privately	205
Live in Parental Hom	90
Unclassified	44

Length

Max length	20
Median length	8
Mean length	8.718119153
Min length	8

Characters and Unicode

Total characters	70826
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own Home
2nd row	Own Home
3rd row	Rent Privately
4th row	Own Home
5th row	Own Home

Common Values

Value	Count	Frequency (%)
Own Home	7506	92.4%
Rent from Council/HA	279	3.4%
Rent Privately	205	2.5%
Live in Parental Hom	90	1.1%
Unclassified	44	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
home	7506	45.0%
own	7506	45.0%
rent	484	2.9%
from	279	1.7%
council/ha	279	1.7%
privately	205	1.2%
parental	90	0.5%
live	90	0.5%
hom	90	0.5%
in	90	0.5%

Most occurring characters

Value	Count	Frequency (%)
	8539	12.1%
n	8493	12.0%
e	8419	11.9%
o	8154	11.5%
H	7875	11.1%
m	7875	11.1%
O	7506	10.6%
w	7506	10.6%
t	779	1.1%
i	752	1.1%
Other values (17)	4928	7.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45156	63.8%
Uppercase Letter	16852	23.8%
Space Separator	8539	12.1%
Other Punctuation	279	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	8493	18.8%
e	8419	18.6%
o	8154	18.1%
m	7875	17.4%
w	7506	16.6%
t	779	1.7%
i	752	1.7%
l	618	1.4%
r	574	1.3%
a	429	1.0%
Other values (7)	1557	3.4%

Uppercase Letter

Value	Count	Frequency (%)
H	7875	46.7%
O	7506	44.5%
R	484	2.9%
P	295	1.8%
C	279	1.7%
A	279	1.7%
L	90	0.5%
U	44	0.3%

Space Separator

Value	Count	Frequency (%)
	8539	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	279	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62008	87.5%
Common	8818	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	8493	13.7%
e	8419	13.6%
o	8154	13.1%
H	7875	12.7%
m	7875	12.7%
O	7506	12.1%
w	7506	12.1%
t	779	1.3%
i	752	1.2%
l	618	1.0%
Other values (15)	4031	6.5%

Common

Value	Count	Frequency (%)
	8539	96.8%
/	279	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70826	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8539	12.1%
n	8493	12.0%
e	8419	11.9%
o	8154	11.5%
H	7875	11.1%
m	7875	11.1%
O	7506	10.6%
w	7506	10.6%
t	779	1.1%
i	752	1.1%
Other values (17)	4928	7.0%

family_income
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

>=35,000	2014
<27,500, >=25,000	969
<30,000, >=27,500	796
<25,000, >=22,500	656
<12,500, >=10,000	535
Other values (8)	3154

Length

Max length	17
Median length	17
Mean length	14.34908912
Min length	7

Characters and Unicode

Total characters	116572
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	>=35,000
2nd row	>=35,000
3rd row	<22,500, >=20,000
4th row	<25,000, >=22,500
5th row	>=35,000

Common Values

Value	Count	Frequency (%)
>=35,000	2014	24.8%
<27,500, >=25,000	969	11.9%
<30,000, >=27,500	796	9.8%
<25,000, >=22,500	656	8.1%
<12,500, >=10,000	535	6.6%
<20,000, >=17,500	525	6.5%
<17,500, >=15,000	521	6.4%
<15,000, >=12,500	508	6.3%
<22,500, >=20,000	479	5.9%
<10,000, >= 8,000	452	5.6%
Other values (3)	669	8.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
35,000	2014	13.2%
27,500	1765	11.6%
25,000	1625	10.7%
	1341	8.8%
22,500	1135	7.5%
17,500	1046	6.9%
12,500	1043	6.8%
15,000	1029	6.8%
20,000	1004	6.6%
10,000	987	6.5%
Other values (4)	2245	14.7%

Most occurring characters

Value	Count	Frequency (%)
0	39153	33.6%
,	19554	16.8%
5	9657	8.3%
>	7783	6.7%
=	7783	6.7%
2	7707	6.6%
	7110	6.1%
<	6002	5.1%
1	4105	3.5%
7	2811	2.4%
Other values (8)	4907	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	67584	58.0%
Math Symbol	21568	18.5%
Other Punctuation	19554	16.8%
Space Separator	7110	6.1%
Lowercase Letter	648	0.6%
Uppercase Letter	108	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	39153	57.9%
5	9657	14.3%
2	7707	11.4%
1	4105	6.1%
7	2811	4.2%
3	2810	4.2%
8	780	1.2%
4	561	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	324	50.0%
k	108	16.7%
o	108	16.7%
w	108	16.7%

Math Symbol

Value	Count	Frequency (%)
>	7783	36.1%
=	7783	36.1%
<	6002	27.8%

Other Punctuation

Value	Count	Frequency (%)
,	19554	100.0%

Space Separator

Value	Count	Frequency (%)
	7110	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115816	99.4%
Latin	756	0.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	39153	33.8%
,	19554	16.9%
5	9657	8.3%
>	7783	6.7%
=	7783	6.7%
2	7707	6.7%
	7110	6.1%
<	6002	5.2%
1	4105	3.5%
7	2811	2.4%
Other values (3)	4151	3.6%

Latin

Value	Count	Frequency (%)
n	324	42.9%
U	108	14.3%
k	108	14.3%
o	108	14.3%
w	108	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	116572	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	39153	33.6%
,	19554	16.8%
5	9657	8.3%
>	7783	6.7%
=	7783	6.7%
2	7707	6.6%
	7110	6.1%
<	6002	5.1%
1	4105	3.5%
7	2811	2.4%
Other values (8)	4907	4.2%

self_employed
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

False	7543
True	581

Common Values
Chart

Value	Count	Frequency (%)
False	7543	92.8%
True	581	7.2%

self_employed_partner
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

False	7207
True	917

Common Values
Chart

Value	Count	Frequency (%)
False	7207	88.7%
True	917	11.3%

year_last_moved
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	94
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1967.876908

Minimum	0
Maximum	1999
Zeros	69
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1961
Q1	1978
median	1988
Q3	1994
95-th percentile	1998
Maximum	1999
Range	1999
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	182.5637854
Coefficient of variation (CV)	0.09277195372
Kurtosis	111.7581431
Mean	1967.876908
Median Absolute Deviation (MAD)	7
Skewness	-10.63967102
Sum	15987032
Variance	33329.53575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1997	548	6.7%
1996	525	6.5%
1998	434	5.3%
1994	423	5.2%
1995	386	4.8%
1988	338	4.2%
1993	323	4.0%
1986	316	3.9%
1992	294	3.6%
1987	284	3.5%
Other values (84)	4253	52.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	69	0.8%
1901	2	< 0.1%
1902	2	< 0.1%
1903	1	< 0.1%
1904	2	< 0.1%
1905	3	< 0.1%
1906	1	< 0.1%
1907	2	< 0.1%
1908	3	< 0.1%
1909	1	< 0.1%

Value	Count	Frequency (%)
1999	51	0.6%
1998	434	5.3%
1997	548	6.7%
1996	525	6.5%
1995	386	4.8%
1994	423	5.2%
1993	323	4.0%
1992	294	3.6%
1991	256	3.2%
1990	273	3.4%

TVarea
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Central	1294
Carlton	1237
Meridian	977
Yorkshire	847
Granada	824
Other values (9)	2945

Length

Max length	13
Median length	7
Mean length	7.43229936
Min length	3

Characters and Unicode

Total characters	60380
Distinct characters	32
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Meridian
2nd row	Meridian
3rd row	HTV
4th row	Scottish TV
5th row	Yorkshire

Common Values

Value	Count	Frequency (%)
Central	1294	15.9%
Carlton	1237	15.2%
Meridian	977	12.0%
Yorkshire	847	10.4%
Granada	824	10.1%
HTV	683	8.4%
Anglia	597	7.3%
Tyne Tees	433	5.3%
Scottish TV	406	5.0%
TV South West	286	3.5%
Other values (4)	540	6.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
central	1294	13.6%
carlton	1237	13.0%
meridian	977	10.2%
yorkshire	847	8.9%
granada	824	8.6%
tv	692	7.3%
htv	683	7.2%
anglia	597	6.3%
tyne	433	4.5%
tees	433	4.5%
Other values (7)	1518	15.9%

Most occurring characters

Value	Count	Frequency (%)
a	6927	11.5%
r	6488	10.7%
n	5999	9.9%
e	4914	8.1%
t	4050	6.7%
i	3979	6.6%
l	3263	5.4%
o	3006	5.0%
C	2531	4.2%
T	2241	3.7%
Other values (22)	16982	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47376	78.5%
Uppercase Letter	11593	19.2%
Space Separator	1411	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6927	14.6%
r	6488	13.7%
n	5999	12.7%
e	4914	10.4%
t	4050	8.5%
i	3979	8.4%
l	3263	6.9%
o	3006	6.3%
s	2107	4.4%
d	1877	4.0%
Other values (9)	4766	10.1%

Uppercase Letter

Value	Count	Frequency (%)
C	2531	21.8%
T	2241	19.3%
V	1375	11.9%
G	999	8.6%
M	977	8.4%
Y	847	7.3%
S	692	6.0%
H	683	5.9%
A	597	5.1%
U	289	2.5%
Other values (2)	362	3.1%

Space Separator

Value	Count	Frequency (%)
	1411	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58969	97.7%
Common	1411	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6927	11.7%
r	6488	11.0%
n	5999	10.2%
e	4914	8.3%
t	4050	6.9%
i	3979	6.7%
l	3263	5.5%
o	3006	5.1%
C	2531	4.3%
T	2241	3.8%
Other values (21)	15571	26.4%

Common

Value	Count	Frequency (%)
	1411	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60380	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6927	11.5%
r	6488	10.7%
n	5999	9.9%
e	4914	8.1%
t	4050	6.7%
i	3979	6.6%
l	3263	5.4%
o	3006	5.0%
C	2531	4.2%
T	2241	3.7%
Other values (22)	16982	28.1%

post_code
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	8050
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

TF6 6LY	2
M14 7NQ	2
YO8 9JZ	2
DE11 0LF	2
CF39 0DB	2
Other values (8045)	8114

Length

Max length	8
Median length	7
Mean length	7.460118168
Min length	6

Characters and Unicode

Total characters	60606
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7976 ?
Unique (%)	98.2%

Sample

1st row	M51 0GU
2nd row	L40 2AG
3rd row	TA19 9PT
4th row	FK2 9NG
5th row	LS23 7DJ

Common Values

Value	Count	Frequency (%)
TF6 6LY	2	< 0.1%
M14 7NQ	2	< 0.1%
YO8 9JZ	2	< 0.1%
DE11 0LF	2	< 0.1%
CF39 0DB	2	< 0.1%
YO32 3NS	2	< 0.1%
CM12 0BA	2	< 0.1%
SA2 0FN	2	< 0.1%
CF48 1EW	2	< 0.1%
LA12 7JP	2	< 0.1%
Other values (8040)	8104	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pr5	28	0.2%
wa4	22	0.1%
tq12	22	0.1%
pr8	21	0.1%
le7	21	0.1%
pr4	21	0.1%
m12	20	0.1%
ts5	20	0.1%
m13	19	0.1%
hd7	19	0.1%
Other values (4888)	16035	98.7%

Most occurring characters

Value	Count	Frequency (%)
	8124	13.4%
1	4089	6.7%
2	2848	4.7%
3	2429	4.0%
L	2385	3.9%
N	2142	3.5%
S	2072	3.4%
B	2048	3.4%
4	1975	3.3%
5	1897	3.1%
Other values (27)	30597	50.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	31217	51.5%
Decimal Number	21265	35.1%
Space Separator	8124	13.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	2385	7.6%
N	2142	6.9%
S	2072	6.6%
B	2048	6.6%
A	1872	6.0%
E	1863	6.0%
D	1803	5.8%
P	1738	5.6%
H	1686	5.4%
T	1606	5.1%
Other values (16)	12002	38.4%

Decimal Number

Value	Count	Frequency (%)
1	4089	19.2%
2	2848	13.4%
3	2429	11.4%
4	1975	9.3%
5	1897	8.9%
6	1856	8.7%
7	1651	7.8%
8	1572	7.4%
9	1521	7.2%
0	1427	6.7%

Space Separator

Value	Count	Frequency (%)
	8124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31217	51.5%
Common	29389	48.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	2385	7.6%
N	2142	6.9%
S	2072	6.6%
B	2048	6.6%
A	1872	6.0%
E	1863	6.0%
D	1803	5.8%
P	1738	5.6%
H	1686	5.4%
T	1606	5.1%
Other values (16)	12002	38.4%

Common

Value	Count	Frequency (%)
	8124	27.6%
1	4089	13.9%
2	2848	9.7%
3	2429	8.3%
4	1975	6.7%
5	1897	6.5%
6	1856	6.3%
7	1651	5.6%
8	1572	5.3%
9	1521	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60606	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8124	13.4%
1	4089	6.7%
2	2848	4.7%
3	2429	4.0%
L	2385	3.9%
N	2142	3.5%
S	2072	3.4%
B	2048	3.4%
4	1975	3.3%
5	1897	3.1%
Other values (27)	30597	50.5%

post_area
Categorical

HIGH CARDINALITY

Distinct	1937
Distinct (%)	23.8%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

PR5	28
WA4	22
TQ12	22
LE7	21
PR4	21
Other values (1932)	8010

Length

Max length	4
Median length	3
Mean length	3.460118168
Min length	2

Characters and Unicode

Total characters	28110
Distinct characters	36
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	449 ?
Unique (%)	5.5%

Sample

1st row	M51
2nd row	L40
3rd row	TA19
4th row	FK2
5th row	LS23

Common Values

Value	Count	Frequency (%)
PR5	28	0.3%
WA4	22	0.3%
TQ12	22	0.3%
LE7	21	0.3%
PR4	21	0.3%
PR8	21	0.3%
M12	20	0.2%
TS5	20	0.2%
M33	19	0.2%
M13	19	0.2%
Other values (1927)	7911	97.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pr5	28	0.3%
tq12	22	0.3%
wa4	22	0.3%
pr4	21	0.3%
pr8	21	0.3%
le7	21	0.3%
ts5	20	0.2%
m12	20	0.2%
m13	19	0.2%
m33	19	0.2%
Other values (1927)	7911	97.4%

Most occurring characters

Value	Count	Frequency (%)
1	3355	11.9%
2	2011	7.2%
3	1571	5.6%
L	1348	4.8%
4	1243	4.4%
S	1241	4.4%
N	1094	3.9%
B	1066	3.8%
6	1064	3.8%
5	1063	3.8%
Other values (26)	13054	46.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14969	53.3%
Decimal Number	13141	46.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	1348	9.0%
S	1241	8.3%
N	1094	7.3%
B	1066	7.1%
A	882	5.9%
E	819	5.5%
T	816	5.5%
P	761	5.1%
D	736	4.9%
C	716	4.8%
Other values (16)	5490	36.7%

Decimal Number

Value	Count	Frequency (%)
1	3355	25.5%
2	2011	15.3%
3	1571	12.0%
4	1243	9.5%
6	1064	8.1%
5	1063	8.1%
7	835	6.4%
8	699	5.3%
0	667	5.1%
9	633	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14969	53.3%
Common	13141	46.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	1348	9.0%
S	1241	8.3%
N	1094	7.3%
B	1066	7.1%
A	882	5.9%
E	819	5.5%
T	816	5.5%
P	761	5.1%
D	736	4.9%
C	716	4.8%
Other values (16)	5490	36.7%

Common

Value	Count	Frequency (%)
1	3355	25.5%
2	2011	15.3%
3	1571	12.0%
4	1243	9.5%
6	1064	8.1%
5	1063	8.1%
7	835	6.4%
8	699	5.3%
0	667	5.1%
9	633	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3355	11.9%
2	2011	7.2%
3	1571	5.6%
L	1348	4.8%
4	1243	4.4%
S	1241	4.4%
N	1094	3.9%
B	1066	3.8%
6	1064	3.8%
5	1063	3.8%
Other values (26)	13054	46.4%

Average_Credit_Card_Transaction
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1209
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.25109429

Minimum	0
Maximum	662.26
Zeros	4989
Zeros (%)	61.4%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	23.48
95-th percentile	129.925
Maximum	662.26
Range	662.26
Interquartile range (IQR)	23.48

Descriptive statistics

Standard deviation	51.14749618
Coefficient of variation (CV)	2.199788773
Kurtosis	20.29545471
Mean	23.25109429
Median Absolute Deviation (MAD)	0
Skewness	3.761152393
Sum	188891.89
Variance	2616.066366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4989	61.4%
19.99	112	1.4%
9.99	86	1.1%
11.99	54	0.7%
24.99	48	0.6%
19.49	46	0.6%
4.99	43	0.5%
14.99	43	0.5%
9.49	40	0.5%
15.99	39	0.5%
Other values (1199)	2624	32.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4989	61.4%
0.01	31	0.4%
0.02	8	0.1%
0.03	1	< 0.1%
0.04	1	< 0.1%
0.51	10	0.1%
0.52	4	< 0.1%
0.54	1	< 0.1%
1.03	1	< 0.1%
1.04	1	< 0.1%

Value	Count	Frequency (%)
662.26	1	< 0.1%
592.36	1	< 0.1%
571.74	1	< 0.1%
565.36	1	< 0.1%
481.36	1	< 0.1%
477.82	1	< 0.1%
467.88	1	< 0.1%
461.93	1	< 0.1%
436.8	1	< 0.1%
421.76	1	< 0.1%

Balance_Transfer
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1860
Distinct (%)	22.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.08292221

Minimum	0
Maximum	2951.76
Zeros	3524
Zeros (%)	43.4%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	17.485
Q3	64.99
95-th percentile	186.9005
Maximum	2951.76
Range	2951.76
Interquartile range (IQR)	64.99

Descriptive statistics

Standard deviation	79.08469243
Coefficient of variation (CV)	1.716138835
Kurtosis	231.6423454
Mean	46.08292221
Median Absolute Deviation (MAD)	17.485
Skewness	8.173734355
Sum	374377.66
Variance	6254.388576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3524	43.4%
0.01	155	1.9%
24.99	135	1.7%
29.99	114	1.4%
19.99	72	0.9%
34.99	63	0.8%
25.99	52	0.6%
0.51	44	0.5%
44.99	43	0.5%
0.02	41	0.5%
Other values (1850)	3881	47.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3524	43.4%
0.01	155	1.9%
0.02	41	0.5%
0.03	12	0.1%
0.04	2	< 0.1%
0.05	5	0.1%
0.46	1	< 0.1%
0.51	44	0.5%
0.52	35	0.4%
0.53	9	0.1%

Value	Count	Frequency (%)
2951.76	1	< 0.1%
860.83	1	< 0.1%
749.38	1	< 0.1%
659.21	1	< 0.1%
644.87	1	< 0.1%
601.85	1	< 0.1%
596.85	1	< 0.1%
583.87	1	< 0.1%
573.4	1	< 0.1%
570.86	1	< 0.1%

Term_Deposit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1215
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.28464919

Minimum	0
Maximum	784.82
Zeros	4587
Zeros (%)	56.5%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	34.49
95-th percentile	124.957
Maximum	784.82
Range	784.82
Interquartile range (IQR)	34.49

Descriptive statistics

Standard deviation	54.13353666
Coefficient of variation (CV)	1.984029052
Kurtosis	28.6855796
Mean	27.28464919
Median Absolute Deviation (MAD)	0
Skewness	4.174162624
Sum	221660.49
Variance	2930.439791
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4587	56.5%
24.99	128	1.6%
29.99	125	1.5%
19.99	87	1.1%
14.99	75	0.9%
9.99	64	0.8%
34.99	62	0.8%
0.01	58	0.7%
29.49	47	0.6%
24.49	40	0.5%
Other values (1205)	2851	35.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4587	56.5%
0.01	58	0.7%
0.02	12	0.1%
0.03	1	< 0.1%
0.51	28	0.3%
0.52	10	0.1%
0.53	1	< 0.1%
1.02	1	< 0.1%
1.03	3	< 0.1%
1.6	1	< 0.1%

Value	Count	Frequency (%)
784.82	1	< 0.1%
738.67	1	< 0.1%
716.12	1	< 0.1%
597.76	1	< 0.1%
539.18	1	< 0.1%
522.77	1	< 0.1%
514.26	1	< 0.1%
505.54	1	< 0.1%
493.78	1	< 0.1%
484.73	1	< 0.1%

Life_Insurance
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2655
Distinct (%)	32.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.31793944

Minimum	0
Maximum	2930.41
Zeros	2454
Zeros (%)	30.2%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	31.475
Q3	92.8875
95-th percentile	239.874
Maximum	2930.41
Range	2930.41
Interquartile range (IQR)	92.8875

Descriptive statistics

Standard deviation	95.76245117
Coefficient of variation (CV)	1.466097247
Kurtosis	106.5999295
Mean	65.31793944
Median Absolute Deviation (MAD)	31.475
Skewness	5.50937883
Sum	530642.94
Variance	9170.447054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2454	30.2%
0.01	77	0.9%
27.99	58	0.7%
29.99	52	0.6%
22.99	47	0.6%
34.99	44	0.5%
25.99	44	0.5%
24.99	40	0.5%
19.99	38	0.5%
17.99	38	0.5%
Other values (2645)	5232	64.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2454	30.2%
0.01	77	0.9%
0.02	25	0.3%
0.03	7	0.1%
0.08	1	< 0.1%
0.44	1	< 0.1%
0.51	28	0.3%
0.52	15	0.2%
0.53	6	0.1%
0.54	3	< 0.1%

Value	Count	Frequency (%)
2930.41	1	< 0.1%
1005.53	1	< 0.1%
817.63	1	< 0.1%
799.12	1	< 0.1%
795.79	1	< 0.1%
774.6	1	< 0.1%
748.46	1	< 0.1%
734.1	1	< 0.1%
726.67	1	< 0.1%
719.6	1	< 0.1%

Medical_Insurance
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1362
Distinct (%)	16.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.82619522

Minimum	0
Maximum	591.04
Zeros	4046
Zeros (%)	49.8%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.01
Q3	26.97
95-th percentile	81.4155
Maximum	591.04
Range	591.04
Interquartile range (IQR)	26.97

Descriptive statistics

Standard deviation	32.02233187
Coefficient of variation (CV)	1.700945491
Kurtosis	22.79540108
Mean	18.82619522
Median Absolute Deviation (MAD)	0.01
Skewness	3.361940195
Sum	152944.01
Variance	1025.429738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4046	49.8%
9.99	168	2.1%
9.49	61	0.8%
29.99	56	0.7%
10.99	54	0.7%
7.49	54	0.7%
4.99	51	0.6%
6.99	51	0.6%
19.99	48	0.6%
19.98	44	0.5%
Other values (1352)	3491	43.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4046	49.8%
0.01	30	0.4%
0.02	4	< 0.1%
0.48	1	< 0.1%
0.51	8	0.1%
0.52	4	< 0.1%
1	2	< 0.1%
1.49	1	< 0.1%
1.54	1	< 0.1%
1.98	1	< 0.1%

Value	Count	Frequency (%)
591.04	1	< 0.1%
350.71	1	< 0.1%
306.85	1	< 0.1%
265.84	1	< 0.1%
244.3	1	< 0.1%
241.79	1	< 0.1%
235.36	1	< 0.1%
233.76	1	< 0.1%
233.38	1	< 0.1%
231.73	1	< 0.1%

Average_A/C_Balance
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1923
Distinct (%)	23.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.83802314

Minimum	0
Maximum	626.24
Zeros	2806
Zeros (%)	34.5%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	14.98
Q3	45.9225
95-th percentile	120.692
Maximum	626.24
Range	626.24
Interquartile range (IQR)	45.9225

Descriptive statistics

Standard deviation	45.2494396
Coefficient of variation (CV)	1.421238982
Kurtosis	12.49559433
Mean	31.83802314
Median Absolute Deviation (MAD)	14.98
Skewness	2.689985223
Sum	258652.1
Variance	2047.511784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2806	34.5%
29.99	112	1.4%
4.99	111	1.4%
11.99	96	1.2%
9.99	84	1.0%
14.99	74	0.9%
24.99	69	0.8%
2.99	49	0.6%
34.99	48	0.6%
3.49	41	0.5%
Other values (1913)	4634	57.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2806	34.5%
0.01	27	0.3%
0.02	4	< 0.1%
0.05	1	< 0.1%
0.47	1	< 0.1%
0.51	9	0.1%
0.52	2	< 0.1%
0.97	1	< 0.1%
0.98	1	< 0.1%
1	1	< 0.1%

Value	Count	Frequency (%)
626.24	1	< 0.1%
415.14	1	< 0.1%
410.71	1	< 0.1%
402.6	1	< 0.1%
398.06	1	< 0.1%
380.75	1	< 0.1%
367.34	1	< 0.1%
351.38	1	< 0.1%
348.18	1	< 0.1%
347.79	1	< 0.1%

Personal_Loan
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	1477
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.41582964

Minimum	0
Maximum	4905.93
Zeros	5134
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	20.8275
95-th percentile	132.8025
Maximum	4905.93
Range	4905.93
Interquartile range (IQR)	20.8275

Descriptive statistics

Standard deviation	85.13014991
Coefficient of variation (CV)	3.349493253
Kurtosis	1354.453006
Mean	25.41582964
Median Absolute Deviation (MAD)	0
Skewness	26.15959592
Sum	206478.2
Variance	7247.142423
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5134	63.2%
15.99	47	0.6%
6.99	35	0.4%
14.99	30	0.4%
5.99	29	0.4%
8.99	27	0.3%
0.01	26	0.3%
13.99	26	0.3%
11.99	25	0.3%
17.99	23	0.3%
Other values (1467)	2722	33.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5134	63.2%
0.01	26	0.3%
0.02	7	0.1%
0.51	6	0.1%
0.52	4	< 0.1%
0.53	2	< 0.1%
0.55	1	< 0.1%
0.99	2	< 0.1%
1	3	< 0.1%
1.02	1	< 0.1%

Value	Count	Frequency (%)
4905.93	1	< 0.1%
1309.08	1	< 0.1%
1280.2	1	< 0.1%
1173.96	1	< 0.1%
898.39	1	< 0.1%
801.76	1	< 0.1%
772.02	1	< 0.1%
719.65	1	< 0.1%
704.34	1	< 0.1%
661.91	1	< 0.1%

Investment_in_Mutual_Fund
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2130
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.72362752

Minimum	0
Maximum	2561.27
Zeros	2602
Zeros (%)	32.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23.48
Q3	59.44
95-th percentile	148.254
Maximum	2561.27
Range	2561.27
Interquartile range (IQR)	59.44

Descriptive statistics

Standard deviation	64.41602328
Coefficient of variation (CV)	1.543873989
Kurtosis	299.0911263
Mean	41.72362752
Median Absolute Deviation (MAD)	23.48
Skewness	9.667247132
Sum	338962.75
Variance	4149.424055
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2602	32.0%
11.99	111	1.4%
9.99	81	1.0%
13.99	70	0.9%
23.98	64	0.8%
23.48	49	0.6%
19.98	47	0.6%
11.49	47	0.6%
17.99	39	0.5%
0.01	39	0.5%
Other values (2120)	4975	61.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2602	32.0%
0.01	39	0.5%
0.02	15	0.2%
0.03	3	< 0.1%
0.06	1	< 0.1%
0.16	1	< 0.1%
0.48	1	< 0.1%
0.51	20	0.2%
0.52	11	0.1%
0.53	1	< 0.1%

Value	Count	Frequency (%)
2561.27	1	< 0.1%
765.03	1	< 0.1%
648.54	1	< 0.1%
646.39	1	< 0.1%
633.89	1	< 0.1%
587.61	1	< 0.1%
576.61	1	< 0.1%
565.99	1	< 0.1%
545	1	< 0.1%
522.58	1	< 0.1%

Investment_Tax_Saving_Bond
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	718
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.05724643

Minimum	0
Maximum	156.87
Zeros	5133
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	5.49
95-th percentile	32.467
Maximum	156.87
Range	156.87
Interquartile range (IQR)	5.49

Descriptive statistics

Standard deviation	12.67337383
Coefficient of variation (CV)	2.092266507
Kurtosis	14.67481655
Mean	6.05724643
Median Absolute Deviation (MAD)	0
Skewness	3.191713108
Sum	49209.07
Variance	160.6144043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5133	63.2%
1	218	2.7%
2	107	1.3%
4.99	98	1.2%
9.99	80	1.0%
19.99	69	0.8%
4.49	62	0.8%
2.49	59	0.7%
2.99	48	0.6%
3	46	0.6%
Other values (708)	2204	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5133	63.2%
0.01	2	< 0.1%
0.1	2	< 0.1%
0.2	4	< 0.1%
0.45	2	< 0.1%
0.5	6	0.1%
0.65	2	< 0.1%
0.74	1	< 0.1%
0.85	1	< 0.1%
0.97	1	< 0.1%

Value	Count	Frequency (%)
156.87	1	< 0.1%
138.56	1	< 0.1%
124.76	1	< 0.1%
121.44	1	< 0.1%
119.87	1	< 0.1%
102.46	1	< 0.1%
101.94	1	< 0.1%
101.81	1	< 0.1%
96.44	1	< 0.1%
95.92	1	< 0.1%

Home_Loan
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	760
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.416914082

Minimum	0
Maximum	162.35
Zeros	5609
Zeros (%)	69.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4.49
95-th percentile	23.9785
Maximum	162.35
Range	162.35
Interquartile range (IQR)	4.49

Descriptive statistics

Standard deviation	9.945746638
Coefficient of variation (CV)	2.251741024
Kurtosis	26.08172109
Mean	4.416914082
Median Absolute Deviation (MAD)	0
Skewness	3.977657035
Sum	35883.01
Variance	98.9178762
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5609	69.0%
4.99	91	1.1%
9.99	77	0.9%
4.49	73	0.9%
3.99	54	0.7%
3.49	46	0.6%
2.99	39	0.5%
1.99	37	0.5%
7.99	36	0.4%
14.99	36	0.4%
Other values (750)	2026	24.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5609	69.0%
0.01	8	0.1%
0.5	3	< 0.1%
0.51	1	< 0.1%
0.74	2	< 0.1%
0.99	6	0.1%
1	7	0.1%
1.19	1	< 0.1%
1.24	7	0.1%
1.49	18	0.2%

Value	Count	Frequency (%)
162.35	1	< 0.1%
121.92	1	< 0.1%
114.39	1	< 0.1%
110.17	1	< 0.1%
101.02	1	< 0.1%
91.26	1	< 0.1%
90.49	1	< 0.1%
86.83	1	< 0.1%
86.37	1	< 0.1%
82.86	1	< 0.1%

Online_Purchase_Amount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	1128
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.1986583

Minimum	0
Maximum	4306.42
Zeros	5700
Zeros (%)	70.2%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	7.48
95-th percentile	95.4685
Maximum	4306.42
Range	4306.42
Interquartile range (IQR)	7.48

Descriptive statistics

Standard deviation	92.3431264
Coefficient of variation (CV)	4.809873949
Kurtosis	769.5945216
Mean	19.1986583
Median Absolute Deviation (MAD)	0
Skewness	21.76395425
Sum	155969.9
Variance	8527.252993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5700	70.2%
3.99	50	0.6%
11.99	47	0.6%
7.99	35	0.4%
4.49	32	0.4%
4.99	29	0.4%
14.99	29	0.4%
9.99	27	0.3%
2.99	26	0.3%
19.99	24	0.3%
Other values (1118)	2125	26.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5700	70.2%
0.01	15	0.2%
0.02	4	< 0.1%
0.05	1	< 0.1%
0.5	2	< 0.1%
0.51	7	0.1%
0.52	4	< 0.1%
0.53	2	< 0.1%
0.8	2	< 0.1%
0.99	5	0.1%

Value	Count	Frequency (%)
4306.42	1	< 0.1%
2808.8	1	< 0.1%
2142.62	1	< 0.1%
2033.85	1	< 0.1%
1652.45	1	< 0.1%
1513.15	1	< 0.1%
1071.22	1	< 0.1%
998.99	1	< 0.1%
964.77	1	< 0.1%
956.96	1	< 0.1%

gender
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Female	6106
Male	1987
Unknown	31

Length

Max length	7
Median length	6
Mean length	5.514647957
Min length	4

Characters and Unicode

Total characters	44801
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	6106	75.2%
Male	1987	24.5%
Unknown	31	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
female	6106	75.2%
male	1987	24.5%
unknown	31	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	14199	31.7%
a	8093	18.1%
l	8093	18.1%
F	6106	13.6%
m	6106	13.6%
M	1987	4.4%
n	93	0.2%
U	31	0.1%
k	31	0.1%
o	31	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36677	81.9%
Uppercase Letter	8124	18.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14199	38.7%
a	8093	22.1%
l	8093	22.1%
m	6106	16.6%
n	93	0.3%
k	31	0.1%
o	31	0.1%
w	31	0.1%

Uppercase Letter

Value	Count	Frequency (%)
F	6106	75.2%
M	1987	24.5%
U	31	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44801	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14199	31.7%
a	8093	18.1%
l	8093	18.1%
F	6106	13.6%
m	6106	13.6%
M	1987	4.4%
n	93	0.2%
U	31	0.1%
k	31	0.1%
o	31	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44801	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14199	31.7%
a	8093	18.1%
l	8093	18.1%
F	6106	13.6%
m	6106	13.6%
M	1987	4.4%
n	93	0.2%
U	31	0.1%
k	31	0.1%
o	31	0.1%

region
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

South East	1680
North West	1517
Unknown	866
South West	769
West Midlands	658
Other values (8)	2634

Length

Max length	16
Median length	10
Mean length	9.596750369
Min length	5

Characters and Unicode

Total characters	77964
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North West
2nd row	North West
3rd row	South West
4th row	Scotland
5th row	Unknown

Common Values

Value	Count	Frequency (%)
South East	1680	20.7%
North West	1517	18.7%
Unknown	866	10.7%
South West	769	9.5%
West Midlands	658	8.1%
East Midlands	623	7.7%
Scotland	615	7.6%
North	460	5.7%
Wales	437	5.4%
East Anglia	344	4.2%
Other values (3)	155	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
west	2944	21.2%
east	2647	19.1%
south	2449	17.6%
north	1977	14.2%
midlands	1281	9.2%
unknown	866	6.2%
scotland	615	4.4%
wales	437	3.1%
anglia	344	2.5%
ireland	135	1.0%
Other values (6)	190	1.4%

Most occurring characters

Value	Count	Frequency (%)
t	10767	13.8%
s	7334	9.4%
o	6057	7.8%
	5761	7.4%
a	5484	7.0%
n	5138	6.6%
h	4566	5.9%
e	3671	4.7%
W	3381	4.3%
d	3317	4.3%
Other values (17)	22488	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58333	74.8%
Uppercase Letter	13870	17.8%
Space Separator	5761	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	10767	18.5%
s	7334	12.6%
o	6057	10.4%
a	5484	9.4%
n	5138	8.8%
h	4566	7.8%
e	3671	6.3%
d	3317	5.7%
l	2837	4.9%
u	2449	4.2%
Other values (7)	6713	11.5%

Uppercase Letter

Value	Count	Frequency (%)
W	3381	24.4%
S	3064	22.1%
E	2647	19.1%
N	2112	15.2%
M	1296	9.3%
U	866	6.2%
A	344	2.5%
I	155	1.1%
C	5	< 0.1%

Space Separator

Value	Count	Frequency (%)
	5761	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	72203	92.6%
Common	5761	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	10767	14.9%
s	7334	10.2%
o	6057	8.4%
a	5484	7.6%
n	5138	7.1%
h	4566	6.3%
e	3671	5.1%
W	3381	4.7%
d	3317	4.6%
S	3064	4.2%
Other values (16)	19424	26.9%

Common

Value	Count	Frequency (%)
	5761	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77964	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	10767	13.8%
s	7334	9.4%
o	6057	7.8%
	5761	7.4%
a	5484	7.0%
n	5138	6.6%
h	4566	5.9%
e	3671	4.7%
W	3381	4.3%
d	3317	4.3%
Other values (17)	22488	28.8%

Investment_in_Commudity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3081
Distinct (%)	37.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.15274865

Minimum	0
Maximum	1231.09
Zeros	825
Zeros (%)	10.2%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8.2825
median	23.59
Q3	49.795
95-th percentile	114.642
Maximum	1231.09
Range	1231.09
Interquartile range (IQR)	41.5125

Descriptive statistics

Standard deviation	42.47495337
Coefficient of variation (CV)	1.174874801
Kurtosis	84.3589966
Mean	36.15274865
Median Absolute Deviation (MAD)	18.19
Skewness	4.816122213
Sum	293704.93
Variance	1804.121663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	825	10.2%
4	49	0.6%
5	44	0.5%
6	43	0.5%
7	37	0.5%
2	37	0.5%
3	29	0.4%
3.6	29	0.4%
3.9	27	0.3%
8	25	0.3%
Other values (3071)	6979	85.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	825	10.2%
0.01	5	0.1%
0.1	20	0.2%
0.12	1	< 0.1%
0.3	1	< 0.1%
0.4	2	< 0.1%
0.41	1	< 0.1%
0.5	1	< 0.1%
0.6	1	< 0.1%
1	8	0.1%

Value	Count	Frequency (%)
1231.09	1	< 0.1%
412.96	1	< 0.1%
385.24	1	< 0.1%
384.17	1	< 0.1%
373.3	1	< 0.1%
370.39	1	< 0.1%
342.43	1	< 0.1%
331.73	1	< 0.1%
318.85	1	< 0.1%
318.78	1	< 0.1%

Investment_in_Equity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2812
Distinct (%)	34.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.44247538

Minimum	0
Maximum	1279.1
Zeros	915
Zeros (%)	11.3%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.66
median	12.82
Q3	27.9725
95-th percentile	68.4585
Maximum	1279.1
Range	1279.1
Interquartile range (IQR)	23.3125

Descriptive statistics

Standard deviation	32.26165951
Coefficient of variation (CV)	1.50456787
Kurtosis	334.8008243
Mean	21.44247538
Median Absolute Deviation (MAD)	9.91
Skewness	11.52490645
Sum	174198.67
Variance	1040.814674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	915	11.3%
3.33	55	0.7%
2	47	0.6%
5	42	0.5%
1.67	38	0.5%
2.5	35	0.4%
4.17	29	0.4%
6.66	28	0.3%
4	28	0.3%
2.33	27	0.3%
Other values (2802)	6880	84.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	915	11.3%
0.02	1	< 0.1%
0.08	1	< 0.1%
0.09	8	0.1%
0.17	18	0.2%
0.18	1	< 0.1%
0.21	1	< 0.1%
0.25	2	< 0.1%
0.29	1	< 0.1%
0.33	9	0.1%

Value	Count	Frequency (%)
1279.1	1	< 0.1%
717.74	1	< 0.1%
556.19	1	< 0.1%
419.99	1	< 0.1%
408.64	1	< 0.1%
368.18	1	< 0.1%
345.89	1	< 0.1%
338.76	1	< 0.1%
316.24	1	< 0.1%
292.4	1	< 0.1%

Investment_in_Derivative
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3269
Distinct (%)	40.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.53065239

Minimum	0
Maximum	1771.16
Zeros	445
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8.74
median	21.14
Q3	42.3925
95-th percentile	96.0185
Maximum	1771.16
Range	1771.16
Interquartile range (IQR)	33.6525

Descriptive statistics

Standard deviation	39.48066024
Coefficient of variation (CV)	1.25213585
Kurtosis	472.3673829
Mean	31.53065239
Median Absolute Deviation (MAD)	14.89
Skewness	12.46231162
Sum	256155.02
Variance	1558.722533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	445	5.5%
3.33	40	0.5%
5	39	0.5%
2	29	0.4%
1.67	29	0.4%
5.83	26	0.3%
2.5	25	0.3%
4.91	25	0.3%
4.66	23	0.3%
6.58	23	0.3%
Other values (3259)	7420	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	445	5.5%
0.01	1	< 0.1%
0.09	10	0.1%
0.1	1	< 0.1%
0.17	8	0.1%
0.25	1	< 0.1%
0.33	6	0.1%
0.42	3	< 0.1%
0.5	7	0.1%
0.58	2	< 0.1%

Value	Count	Frequency (%)
1771.16	1	< 0.1%
456.12	1	< 0.1%
421.55	1	< 0.1%
411.39	1	< 0.1%
389.41	1	< 0.1%
330.28	1	< 0.1%
319.8	1	< 0.1%
286.96	1	< 0.1%
285.76	1	< 0.1%
276.16	1	< 0.1%

Portfolio_Balance
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6884
Distinct (%)	84.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.3533678

Minimum	-78.43
Maximum	4283.56
Zeros	0
Zeros (%)	0.0%
Negative	852
Negative (%)	10.5%
Memory size	63.6 KiB

Quantile statistics

Minimum	-78.43
5-th percentile	-13.54
Q1	26.2775
median	65.56
Q3	123.97
95-th percentile	271.5595
Maximum	4283.56
Range	4361.99
Interquartile range (IQR)	97.6925

Descriptive statistics

Standard deviation	108.3035378
Coefficient of variation (CV)	1.212081206
Kurtosis	283.2761771
Mean	89.3533678
Median Absolute Deviation (MAD)	45.695
Skewness	8.895471543
Sum	725906.76
Variance	11729.6563
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57.9	5	0.1%
71.45	5	0.1%
30	4	< 0.1%
4.09	4	< 0.1%
-9.02	4	< 0.1%
74.99	4	< 0.1%
8.89	4	< 0.1%
89.12	4	< 0.1%
39.41	4	< 0.1%
-9.66	4	< 0.1%
Other values (6874)	8082	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-78.43	1	< 0.1%
-77.23	1	< 0.1%
-76.35	1	< 0.1%
-73.35	1	< 0.1%
-72.74	1	< 0.1%
-69.38	1	< 0.1%
-67.42	1	< 0.1%
-66.27	1	< 0.1%
-64.3	1	< 0.1%
-64.16	1	< 0.1%

Value	Count	Frequency (%)
4283.56	1	< 0.1%
1097.44	1	< 0.1%
1053.8	1	< 0.1%
1024.68	1	< 0.1%
952.49	1	< 0.1%
862.32	1	< 0.1%
844.24	1	< 0.1%
790.83	1	< 0.1%
769.02	1	< 0.1%
763.22	1	< 0.1%

Revenue_Grid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

2	7264
1	860

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8124
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Most occurring characters

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8124	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	8124	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8124	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	7264	89.4%
1	860	10.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	REF_NO	children	age_band	status	occupation	occupation_partner	home_status	family_income	self_employed	self_employed_partner	year_last_moved	TVarea	post_code	post_area	Average_Credit_Card_Transaction	Balance_Transfer	Term_Deposit	Life_Insurance	Medical_Insurance	Average_A/C_Balance	Personal_Loan	Investment_in_Mutual_Fund	Investment_Tax_Saving_Bond	Home_Loan	Online_Purchase_Amount	gender	region	Investment_in_Commudity	Investment_in_Equity	Investment_in_Derivative	Portfolio_Balance	Revenue_Grid
0	5466	2	31-35	Partner	Professional	Professional	Own Home	>=35,000	No	No	1981	Meridian	M51 0GU	M51	26.98	29.99	312.25	299.79	88.72	108.85	175.43	134.35	8.98	55.44	7.68	Female	North West	151.55	81.79	136.02	360.37	2
1	9091	Zero	45-50	Partner	Secretarial/Admin	Professional	Own Home	>=35,000	No	No	1997	Meridian	L40 2AG	L40	35.98	74.48	0.00	99.96	10.99	48.45	15.99	0.00	0.00	0.00	18.99	Female	North West	44.28	13.91	29.23	89.22	2
2	9744	1	36-40	Partner	Manual Worker	Manual Worker	Rent Privately	<22,500, >=20,000	Yes	Yes	1996	HTV	TA19 9PT	TA19	0.00	24.46	0.00	18.44	0.00	0.00	0.02	10.46	0.00	0.00	0.00	Female	South West	8.58	1.75	4.82	14.50	2
3	10700	2	31-35	Partner	Manual Worker	Manual Worker	Own Home	<25,000, >=22,500	No	No	1990	Scottish TV	FK2 9NG	FK2	44.99	0.00	0.00	0.00	29.99	0.00	0.00	0.00	0.00	0.00	0.00	Female	Scotland	15.00	0.00	5.00	68.98	2
4	1987	Zero	55-60	Partner	Housewife	Professional	Own Home	>=35,000	No	No	1989	Yorkshire	LS23 7DJ	LS23	0.00	0.00	0.00	0.00	0.00	0.00	0.00	9.98	0.00	0.00	0.00	Female	Unknown	0.00	1.66	1.66	1.88	2
5	3309	Zero	45-50	Partner	Secretarial/Admin	Business Manager	Own Home	>=35,000	No	No	1984	Ulster	BT17 9NA	BT17	9.49	0.01	0.00	0.51	55.89	0.00	28.98	0.00	0.00	0.00	0.00	Female	Northern Ireland	13.18	4.83	14.23	33.62	2
6	6610	Zero	36-40	Partner	Secretarial/Admin	Secretarial/Admin	Own Home	<30,000, >=27,500	Yes	No	1986	Central	B62 8TF	B62	9.99	0.00	0.00	0.00	0.00	26.96	22.99	80.42	1.00	3.99	5.49	Female	West Midlands	2.00	23.48	21.90	13.12	2
7	10621	Zero	61-65	Partner	Retired	Retired	Own Home	<20,000, >=17,500	No	No	1998	Granada	PR8 2TY	PR8	0.00	0.00	0.00	0.00	0.00	0.00	0.00	29.95	0.00	0.00	0.00	Male	North West	0.00	4.99	4.99	15.74	2
8	2630	1	45-50	Partner	Professional	Professional	Own Home	>=35,000	No	No	1980	Unknown	CF15 9TH	CF15	0.00	82.96	0.00	40.47	12.49	0.00	28.97	0.00	0.00	0.00	0.00	Female	Unknown	27.18	4.83	13.66	36.05	2
9	9356	3	36-40	Partner	Professional	Housewife	Own Home	<27,500, >=25,000	Yes	No	1997	Meridian	M13 9BG	M13	0.00	0.00	0.00	0.00	0.00	0.00	15.99	0.00	24.47	0.00	0.00	Male	North West	0.00	6.74	6.74	8.60	2

Last rows

	REF_NO	children	age_band	status	occupation	occupation_partner	home_status	family_income	self_employed	self_employed_partner	year_last_moved	TVarea	post_code	post_area	Average_Credit_Card_Transaction	Balance_Transfer	Term_Deposit	Life_Insurance	Medical_Insurance	Average_A/C_Balance	Personal_Loan	Investment_in_Mutual_Fund	Investment_Tax_Saving_Bond	Home_Loan	Online_Purchase_Amount	gender	region	Investment_in_Commudity	Investment_in_Equity	Investment_in_Derivative	Portfolio_Balance	Revenue_Grid
8114	9449	1	45-50	Partner	Retired	Housewife	Own Home	<12,500, >=10,000	No	No	1982	Yorkshire	DN3 3LD	DN3	148.45	104.98	27.99	99.46	0.01	19.99	0.00	0.00	0.00	0.00	0.00	Male	Unknown	76.18	3.33	19.91	116.45	1
8115	6341	2	36-40	Partner	Secretarial/Admin	Business Manager	Own Home	<27,500, >=25,000	No	No	1986	Tyne Tees	NE9 7BN	NE9	0.00	91.46	0.00	102.44	0.00	28.46	60.46	88.38	0.00	0.00	17.48	Female	North	38.78	32.46	46.62	114.38	2
8116	5043	Zero	61-65	Partner	Retired	Retired	Own Home	< 8,000, >= 4,000	No	No	1982	Carlton	SS4 1QA	SS4	0.00	25.49	0.00	0.00	0.00	35.98	0.00	0.00	11.98	6.48	0.00	Female	South East	5.10	9.07	7.99	-7.37	2
8117	526	1	26-30	Partner	Secretarial/Admin	Professional	Own Home	>=35,000	No	No	1998	Scottish TV	KY12 7YB	KY12	0.00	67.97	95.46	22.99	30.95	81.45	0.00	49.94	0.00	1.49	0.00	Female	Scotland	43.47	22.15	30.89	91.37	2
8118	7120	Zero	45-50	Partner	Professional	Secretarial/Admin	Own Home	>=35,000	No	No	1981	Granada	SK9 2ES	SK9	0.00	15.99	54.98	137.44	0.00	88.92	5.49	137.32	0.00	27.94	98.92	Male	North West	41.68	59.77	61.53	210.66	2
8119	6516	3	36-40	Partner	Manual Worker	Housewife	Own Home	<20,000, >=17,500	No	No	1981	Meridian	L33 2TW	L33	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	Male	North West	0.00	0.00	0.00	15.23	2
8120	5897	Zero	61-65	Widowed	Retired	Unknown	Own Home	< 8,000, >= 4,000	No	No	1960	Central	DE6 5GY	DE6	0.00	0.00	9.49	0.00	0.00	2.99	0.00	46.76	0.00	0.00	0.00	Female	East Midlands	1.90	8.29	8.29	68.42	2
8121	6130	1	41-45	Single/Never Married	Housewife	Unknown	Rent from Council/HA	< 8,000, >= 4,000	No	No	1987	Ulster	BT28 1DX	BT28	0.00	107.42	0.00	23.42	23.99	38.95	0.00	101.37	1.00	3.72	0.00	Female	Northern Ireland	30.97	24.17	31.46	106.06	2
8122	980	Zero	61-65	Partner	Retired	Retired	Own Home	< 4,000	No	No	1985	Meridian	CT10 2JF	CT10	0.00	59.48	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	Female	South East	11.90	0.00	0.00	-9.19	2
8123	8267	3	41-45	Partner	Business Manager	Housewife	Own Home	<25,000, >=22,500	No	No	1974	Tyne Tees	TS16 0HG	TS16	73.96	74.47	42.98	127.45	13.49	51.46	95.90	58.44	15.47	4.49	3.99	Male	North	66.47	38.29	60.37	160.79	2

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Dash Punctuation

Math Symbol

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation